ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)

HelloBetter is at the forefront of the burgeoning digital therapeutics (DTx) industry for mental health. We are recognized globally for our pioneering research in digital mental health. Our scientifically validated DTx treatments address a wide spectrum of mental health issues, including depression, panic, stress and burnout, insomnia, vaginismus, chronic pain and diabetes, alcohol addiction, and two prevention programs.

Founded in 2015 by psychologists who are global pioneers in digital mental health:

• Over €25M in total funding
• 15+ years of research history
• €10M in research grants
• 100,000+ patients treated
• A team of 130+ from 19+ countries For more details, refer to our HelloBetter Handbook.

We have recently embraced a new technological era, characterized by advanced AI systems using transformer architectures and rapid advancements in computational capacities. This technology could potentially surpass the impact of the internet's invention three decades ago.

As our patient base grows, HelloBetter has gained invaluable insights into the benefits of digital mental health programs. We now employ AI to harness the knowledge acquired from over 15 years of research and more than 100,000 treated patients.

From the outset, our vision has been to make safe, evidence-based, high-quality digital mental health care accessible to all who could benefit. Large Language Models (LLMs) enable us to fulfill this vision by offering AI talk therapy with unprecedented levels of interactivity, personalization, and scale.

Imagine an app that provides real talk therapy via chat, voice, or video interaction, available 24/7 worldwide. This empowers millions of people, particularly in low- to middle-income countries with underdeveloped healthcare systems, to improve their mental well-being autonomously.

Ultimately, our goal is to uphold the promise that mental health is a human right: Are you ready to join this mission?

YOUR OBJECTIVES

As a leading expert, you will collaborate with our team of Machine Learning, LLM, and NLP experts, along with renowned psychologists and researchers, to pioneer the development of our domain-specific Large Language Model (LLM) for mental health care:

• Design and architect an AI system incorporating multiple large language models, including a primary conversational agent and supplementary models for contextual support.
• Guide the fine-tuning of language models on specific healthcare domains to ensure high relevance and accuracy.
• Implement a RAG system to enhance the conversational agent with pertinent external knowledge and context.
• Develop and manage datasets, ensuring data quality and compliance with data privacy regulations.
• Establish performance metrics to evaluate model effectiveness and system efficiency.
• Collaborate with cross-functional teams, including data scientists, data engineers, software developers, and product managers, to integrate AI models into existing platforms.
• Stay updated with the latest advancements in AI, machine learning, and related technologies, applying this knowledge to improve system capabilities.

YOUR PROFILE

Must-Haves:

• Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 2+ years of experience building and maintaining NLP/Large Language Models at scale.
• Strong experience in developing and deploying large language models and NLP applications.
• Proficiency in fine-tuning LLMs.
• Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with retrieval-augmented techniques and knowledge-intensive NLP tasks.
• Excellent programming skills in Python and familiarity with software development best practices.
• Demonstrated ability to design and implement complex AI systems.
• Excellent communication skills.

Nice-to-Haves:

• Experience with cloud services (AWS, Azure) and managing scalable AI solutions.
• Knowledge of data privacy laws and ethical AI use, especially in healthcare.
• Publication record in AI/ML fields or active participation in relevant professional communities.

WHY US?

Meaningfulness

• Mental health is a human right: we assist thousands of people monthly who struggle with depression, stress, insomnia, burnout, and other mental health issues.

Research & Evidence

• We have a unique product and lead in digital health application research.
• Our product's effectiveness is continuously evaluated, with efficacy studies published in international, high-impact journals since 2014.
• We prioritize data and are transparent about our strategy, goals, and results.

Growth

• As pioneers in mental health application development, we are at the innovation forefront.
• We operate in an exciting and emerging market.
• We offer an annual training budget of €1,000, emphasizing the personal growth and development of our employees.

Remote-First

• We maintain a remote-first culture, hiring globally within a time window of +/- 4.5 hours CET (Residency around Brandenburg/Berlin is necessary for this position due to a research project supported by the state of Brandenburg).
• Our offices in Berlin and Hamburg are available for those preferring on-site work.
• We offer relocation options and support.

Diversity & Inclusion

• Fair and equal treatment is the standard under our Anti-Harassment Policy.
• Flexible working hours allow you to shape your day.
• Our company language is English, with a strong emphasis on inclusive language.
• We provide transparent salary bands.
• Non-birth parents receive an additional 10 paid leave days following the birth or adoption of a child.

Other Benefits

• 28 vacation days, plus additional holidays for public holidays that fall on weekends.
• Tenure-based paid time off, up to three additional days.
• Permanent employment contract.
• Attractive VSOP (Virtual Stock Option Plan) for all employees.
• Tax-deductible pension plan with an above-average employer contribution.
• Free or subsidized fitness memberships.
• Regular team events.

HelloBetter is an equal-opportunity employer and encourages applications from individuals of any national origin, gender, sexual orientation, religious background, gender identity, and people with disabilities.